Senior Software Development Manager

Requirements

• Experience applying AI/ML technologies in production systems
• Experience leading AI transformation initiatives within engineering teams
• Experience with network management systems, software-defined networking (SDN), or network automation platforms
• Experience utilizing cloud-native platforms, microservices architectures, and Kubernetes
• Background in data-driven decision making and analytics
• #LI-BS1
• Pay Range:
• The annual pay range for this position is C$140,900 - C$225,100.
• At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.
• Ciena is an Equal Opportunity Employer, including disability and protected veteran status.
• If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

Benefits

Additional Information

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We're a technology company that leads with our humanity-driving our business priorities alongside meaningful social, community, and societal impact. Ciena is advancing network automation through AI-powered applications that enhance network management and optimization. This role contributes to delivering intelligent, scalable software solutions that improve performance and operational efficiency. The position also shapes engineering practices that support AI-driven innovation and transformation. How you will make an impact: Lead development teams in delivering AI-enabled applications for network management and optimization Mentor and develop engineering talent to build a collaborative and high-performing team environment Drive planning and execution of features to meet delivery timelines and quality expectations Champion adoption and scaling of AI technologies to improve development efficiency and product innovation Collaborate with cross-functional teams including product management, data science, UX, and platform engineering Implement engineering best practices including modular design, performance optimization, and automated testing The must haves: Education: Bachelor's degree in Computer Science, Software Engineering, or equivalent Experience: 8+ years of software development experience applying modern engineering practices Experience: 2+ years of experience managing direct reports in an engineering environment Delivery of complex software solutions within Agile development frameworks Leadership and mentoring of engineering teams supporting delivery outcomes Communication and collaboration across distributed teams and cross-functional stakeholders Ability to operate effectively in evolving and fast-paced environments

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